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European Journal of Scientific Research - EuroJournals

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Blind SIMO GSM Channel Identification 833<br />

⎡<br />

⎢<br />

⎢<br />

Y(<br />

l)<br />

Y ⎢ l =<br />

⎢<br />

⎢<br />

⎢<br />

⎣ 0<br />

•<br />

Y(<br />

l−1)<br />

•<br />

0<br />

Y(<br />

l)<br />

0 ⎤<br />

− Y<br />

⎥<br />

( 1)<br />

⎥<br />

• ⎥<br />

⎥<br />

• ⎥<br />

− Y ⎥<br />

( l−1)<br />

⎦<br />

(27)<br />

With l = 3,…,q and:<br />

⎡ yl<br />

( M )<br />

⎢<br />

⎢<br />

•<br />

Y ⎢ ( l ) = •<br />

⎢<br />

⎢ •<br />

⎢<br />

⎣y<br />

l ( N −1)<br />

•<br />

•<br />

•<br />

•<br />

•<br />

•<br />

yl<br />

( 0)<br />

⎤<br />

•<br />

⎥<br />

⎥<br />

• ⎥<br />

⎥<br />

• ⎥<br />

y ( N − M −1)<br />

⎥<br />

l ⎦<br />

(28)<br />

In the presence <strong>of</strong> noise, equation (26) can be naturally solved in the least- square (LS) [4]<br />

sense according to:<br />

ˆ<br />

H H<br />

= argminh<br />

Y Y h<br />

(29)<br />

hCR q q<br />

h = 1<br />

5. Simultion Results<br />

We now present simulation results <strong>of</strong> GSM blind identification. A GMSK pulse <strong>of</strong> four symbols was<br />

generated and bandwidth BT=0.3. The bit rate is 27 kb/s.<br />

Figure 3: Estimation <strong>of</strong> propagation channel.<br />

s(t): transmitted signal BPSK<br />

n(t): additive noise<br />

h(t): combined filter [h(t)=h0(t)*hc(t)]<br />

Figure 3 represents the estimated impulse response <strong>of</strong> the propagation channel for COST-207<br />

[6]. Figure 4 represents the relative error estimation for training method and blind method.

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